• Safety and Health at Work
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• v.7 no.3
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• pp.256-256
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• 2016

• Journal of Chest Surgery
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• v.47 no.6
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• pp.572-572
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• 2014

• Safety and Health at Work
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• v.5 no.3
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• pp.165-167
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• 2014

The Dutch construction industry has introduced a compulsory preemployment medical examination (PE-ME). Best-evidence contents related to specific job demands are, however, lacking and need to be gathered. After the identification of job demands and health problems in the construction industry (systematic literature search and expert meeting), specific job demands and related requirements were defined and instruments proposed. Finally, a work ability assessment was linked to the instruments' outcomes, resulting in the modular character of the developed PE-ME. Twenty-two specific job demands for all Dutch construction jobs were identified, including kneeling/squatting, working under time pressure, and exposure to hazardous substances. The next step was proposing self-report questions, screening questionnaires, clinical tests, and/or performance-based tests, leading to a work ability judgment. "Lifting/carrying" is described as an example. The new modular PE-ME enables a job-specific assessment of work ability to be made for more than 100 jobs in the Dutch construction industry.

• Korean Journal of Radiology
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• v.25 no.1
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• pp.120-121
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• 2024

• The Academic Congress of Korean Shoulder and Elbow Society
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• 1999.03a
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• pp.57-57
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• 1999

• Bulletin of the Korean Chemical Society
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• v.30 no.5
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• pp.1181-1183
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• 2009

• Archives of Plastic Surgery
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• v.47 no.6
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• pp.629-630
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• 2020

• The Academic Congress of Korean Shoulder and Elbow Society
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• 2002.03a
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• pp.19-19
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• 2002

• Clinical and Experimental Vaccine Research
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• v.12 no.1
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• pp.25-31
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• 2023

Purpose: Since late 2019, the novel coronavirus disease has been a global concern, and alongside preventive strategies, including social distancing and personal hygiene, vaccination is now the primary hope for controlling the pandemic. Sputnik V is an adenovirus vector vaccine used against coronavirus disease 2019 (COVID-19) among Iranian health care providers, and there is a lack of information regarding the Adverse Events Following Immunisation (AEFI) by Sputnik V among the Iranian population. The present study aimed to evaluate AEFI by Sputnik V vaccine among Iranian population. Materials and Methods: Every member of the Islamic Republic of Iran Medical Council received their first dose of the Sputnik V vaccine in Mashhad (Iran) and was referred to receive their second dose enrolled in the present study and asked to fill an English language checklist asking about development of any AEFI following immunization with the first dose of Sputnik V vaccine. Results: A total number of 1,347 with a mean±standard deviation age of 56.2±9.6 years filled the checklist. Most of the participants were male (838 [62.2%]). The present study demonstrated that immunization with the first dose of Sputnik V results in at least one AEFI in 32.8% of the Iranian medical council members. Most of the AEFI was related to musculoskeletal symptoms, including myalgia. By considering the age of 55 years as a cut-off point, individuals younger than 55 had a higher rate of AEFI (41.3% vs. 22.5%, p=0.0001). Male gender, use of analgesics, beta-blockers, and previous COVID-19 infection have a lower chance of developing AEFI (p<0.05). Conclusion: The present study demonstrated that most of the AEFI was related to musculoskeletal symptoms, including myalgia, and older individuals, male gender and those receiving analgesics and beta-blockers were less likely to develop AEFI following immunization with the first dose of Sputnik V.

• The Korean Journal of Health Service Management
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• v.11 no.4
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• pp.41-51
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• 2017

Objectives : This study investigates the association between weather conditions and the rate of no-shows at an academic medical center. Methods : Electronic data regarding medical appointments atover the course ofone academic year (2016.03~2017.02) were used for analysis. Characteristics of weather conditions and the daily number of no-shows were compared by Chi-square test. A logistic regression was run to determine if certain aspects of weather affected the rate of no-shows. Results : The results reveal an overall no-show rate of 6.8% that appears to vary in accordance with specific weather conditions. Lower average temperatures, in particular, corresponded with a higher rate of no-show patients. This may indicate that o-show rates in autumn and winter can be expected to exceed those during spring. Conclusions : This study investigates the association between no-show patients and weather conditions, and offers suggestions for augmenting this loss. One recommendation is to begin conducting investigations nationwide in order to provide more useful information.